M2SCI function
Last update : 30/3/2004

mtlb_cumsum - Matlab cumsum emulation function

### Description

Matlab and Scilab `cumsum` behave differently in some particular cases:

  - When used with one input (`cumsum(A)`), Matlab `cumsum` treats the values along the first non-singleton dimension of A as vectors while Scilab `cumsum` treats all A values.
  - When used with two inputs (`cumsum(A,dim)`), Matlab tolerates `dim` to be greater than the number of dimensions of A while Scilab returns an error message in this case.

The function `R = mtlb_cumsum(A[,dim])` is used by `mfile2sci` to replace `cumsum(A[,dim])` when it was not possible to know what were the inputs while porting Matlab code to Scilab. This function will determine the correct semantic at run time. If you want to have a more efficient code it is possible to replace `mtlb_cumsum` calls:

  - If `dim` is less equal to the number of dimensions of A `R = mtlb_cumsum(A,dim)` may be replaced by `R = cumsum(A,dim)`
  - If `dim` is greater than then number of dimensions of A `R = mtlb_cumsum(A,dim)` may be replaced by `R = A`.

Caution: `mtlb_cumsum` has not to be used for hand coded functions.

### See Also

`firstnonsingleton`,

### Authors

  V.C.